Working with mass collections of LFS or census data (like IPUMS, LSMS, or ISSP) we figured these sources are quite scarce with many important countries missing entirely. Thus, we set up a new research agenda to collect more data. At the same time, engaged in different project on efficiency wages, we realized many of the empirical analyses of the discrimination problem are likely to be biased. This is because if efficiency wages are indeed used in industries were women are scarce, any empirical strategy employed so far in the literature will find discrimination even if womens’ wages equal exactly their productivity. We tried to work on a method that could immunize the estimations to that problem. Finally, there can be important consequences of discrimination on both poverty and child-bearing. We thought that combining all these topics in one research agenda could prove useful. Gladly, also National Science Center agreed this would be useful and decided to fund this project. This is how DiscEF has started :).